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Enregistrement W4411325981 · doi:10.1002/hon.70094_443

443 | A PHASE 1 STUDY OF PRT2527, A SELECTIVE CDK9 INHIBITOR, AS MONOTHERAPY AND IN COMBINATION WITH ZANUBRUTINIB IN RELAPSED/REFRACTORY LYMPHOID MALIGNANCIES: UPDATED ANALYSIS

2025· article· en· W4411325981 sur OpenAlexaff
Wojiech Jurczak, Clémentine Sarkozy, Katharine L. Lewis, Geoffrey Shouse, Eliza A. Hawkes, Woo Seob Kim, Monica Tani, François Lemonnier, Sarit Assouline, F. Morschhauser, Bruce D. Cheson, Catherine Diefenbach, Gareth P. Gregory, T. Munir, Petra Langerbeins, Constantine S. Tam, G. Musuraca, C. A. Portell, Anastasios Stathis, Y. R., Joana M. Xavier, Mohammed A. Osman, Siminder Atwal, J. Huang, P. L. Zinzani

Notice bibliographique

RevueHematological Oncology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesBeiGeneGilead SciencesMerck KGaARegeneron PharmaceuticalsPharmacyclicsGenentechCelgeneAstraZenecaEli Lilly and CompanyBristol-Myers SquibbTG TherapeuticsAmgen
Mots-clésRefractory (planetary science)MedicineOncologyInternal medicineCancer researchBiology

Résumé

récupéré en direct d'OpenAlex

Introduction: CDK9, a key transcription elongation regulator, is a potential target in transcriptionally addicted cancers dependent on oncogenic drivers with short half-lives. The BTK inhibitor zanubrutinib (zanu) upregulates BCL2-modifying factor, a proapoptotic molecule inhibited by BCL2, BCLXL, and BCLW. CDK9 and BTK inhibition may synergistically enhance apoptotic priming and shift dependency toward the CDK9 targets. Methods: Phase 1 study of PRT2527, a highly selective potent CDK9 inhibitor, as monotherapy (mono) and in combination (combo) with zanu in patients (pts) with select relapsed/refractory (R/R) hematologic malignancies (NCT05665530). Pts must be R/R to or ineligible for standard-of-care therapy. PRT2527 administered intravenously as a once-weekly infusion in escalating doses guided by BOIN based on dose-limiting toxicities (DLTs) in cycle 1; zanu administered orally. Results: As of January 31, 2025, 56 pts with lymphoma (20 DLBCL-NOS, 4 HGBL, 2 Richter syndrome, 20 TCL, 6 MCL, and 4 CLL/SLL) were enrolled and treated with PRT2527. Median age was 64 (range, 27–94) years, 59% were male, and median prior lines of therapy was 3 (range, 1–7). Thirty-five pts were treated with PRT2527 mono (9 mg/m2, n = 6; 15 mg/m2, n = 5; 18 mg/m2, n = 18; 24 mg/m2, n = 6) and 21 with PRT2527 + zanu combo (9 mg/m2, n = 6; 15 mg/m2, n = 7, 18 mg/m2, n = 8). Median duration of study treatment was 6 weeks (range, 1.0–39.0) for mono and 13 weeks (range, 4.4–45.0) for combo. Ten (18%) pts remained on study (mono, n = 3; combo, n = 7), and 46 (82%) discontinued treatment mainly due to progressive disease (66%) and adverse events (AEs; 9%). Most frequent (> 20%) any-grade treatment-emergent AEs (TEAEs) were neutropenia (46%), nausea (38%), and anemia (21%) in all pts. Most frequent grade ≥ 3 TEAEs were neutropenia (43%), anemia (11%), thrombocytopenia (9%), and febrile neutropenia, sepsis, and pneumonia (5% each). Twenty-five (45%) pts had a TEAE leading to PRT2527 dose hold: 14 (25%) due to neutropenia, with 13 resolved with growth factor, and 1 due to febrile neutropenia. One DLT of grade 3 tumor lysis syndrome (TLS) occurred in a pt with CTCL (mycosis fungoides) with 24 mg/m2 mono. Responses shown in Table. Whole blood expression of MCL1 and MYC showed target engagement at all doses. At 18 mg/m2 (n = 13), a median decrease of 74% in MCL1 and 88% in MYC mRNA was achieved at end of infusion. At 6 h, MCL1 and MYC levels remained suppressed with median inhibition of 20% and 34%, respectively. Conclusions: PRT2527 had an acceptable safety profile with activity observed in both mono and in combo with zanu, including CR in 2 pts relapsed after CAR-T and responses in CLL/SLL post BTK. Most common TEAE was neutropenia, manageable with growth factor support. One DLT (grade 3 TLS) was observed in mono (24 mg/m2) and no DLTs in combo. Data supports further evaluation of PRT2527 at 18 mg/m2 (recommended phase 2 dose) as mono in PTCL and in combo with zanu in aggressive B-cell lymphoma. Research funding declaration: Prelude Therapeutics Incorporated Keywords: non-Hodgkin; molecular targeted therapies; molecular targeted therapies Potential sources of conflict of interest: W. Jurczak Consultant or advisory role: Abbvie/Genentech, AstraZeneca, BeiGene, Janssen-Cillag, Lilly, and Takeda Other remuneration: Research Funding: Abbvie/Genentech, AstraZeneca, BeiGene, Janssen- Cillag, Lilly, Merck, MSD, Prelude Therapeutics, Roche, and Takeda C. Sarkozy Consultant or advisory role: Janssen, BeiGene, Roche, Bristol Myers Squibb, and MSD Honoraria: AstraZeneca, BeiGene, and AbbVie Educational grants: Roche, Gilead Other remuneration: Research Funding: Roche K. L. Lewis Consultant or advisory role: AstraZeneca, Roche, Merck/MSD, and AbbVie Honoraria: Janssen, Roche, AstraZeneca, and Gilead/Kite Other remuneration: Patents/Royalties: Loxo/Lilly, AstraZeneca; Advisory Board: AbbVie, Merck/MSD, and IQVIA; Trial Steering Committee: Loxo/Lilly G. Shouse Consultant or advisory role: BeiGene, Kite Pharma Honoraria: BeiGene, Kite Pharma Other remuneration: Speakers Bureau: BeiGene, Kite Pharma, and ADC Therapeutics E. A. Hawkes Consultant or advisory role: Roche, Merck Sharp & Dohme, AstraZeneca, Gilead, Antengene, Novartis, Regeneron, Janssen, Specialised Therapeutics, and Sobi Educational grants: AstraZeneca Other remuneration: Research Funding: Roche, AstraZeneca, Merck KGaA, Bristol Myers Squibb, TG Therapeutics and Merck; Speakers Bureau: Regeneron; Expert Testimony: Specialised Therapeutics W. S. Kim Other remuneration: Grant/Research Support: Sanofi, BeiGene, Boryong, Roche, Kyowa-Kirin, and Donga M. Tani Consultant or advisory role: Roche, Lilly, BeiGene, and AstraZeneca Honoraria: Sobi, AbbVie Educational grants: Janssen-Cilag F. Lemonnier Consultant or advisory role: Bristol Myers Squibb, Kiowa Educational grants: BeiGene, Kite, and AbbVie S. E. Assouline Consultant or advisory role: Roche, AstraZeneca, Novartis, Gilead, and BeiGene Honoraria: Roche, AstraZeneca, Norvatis, Gilead, AbbVie, and Beigene Other remuneration: Research Funding: Novartis; Speakers Bureau: Roche, Novartis F. Morschhauser Consultant or advisory role: Roche, Bristol Myers Squibb, and Gilead Honoraria: Takeda, Roche, and Chugai Other remuneration: Participation on a Data Safety Monitoring Board or Advisory Board: Gilead, Bristol Myers Squibb, and AbbVie B. D. Cheson Employment or leadership position: American Oncology Network Consultant or advisory role: AbbVie, AstraZeneca, Regeneron, Calyx, and Imaging Endpoints Honoraria: BeiGene, Lilly Other remuneration: Leadership: Symbio Pharmaceuticals; Research Funding: Lilly, BeiGene, Genentech, and Prelude; Speakers Bureau: Lilly C. S. Diefenbach Employment or leadership position: NYU Grossman School of Medicine/Perlmutter Cancer Center at NYU Langone Health Consultant or advisory role: Bristol Myers Squibb, Celgene, Genentech/Roche, Genmab, I MAB, Incyte, Merck, MorphoSys, Seattle Genetics Stock ownership: Gilead Sciences, OverT Therapeutics Other remuneration: Membership on a Board or Advisory Committee: AstraZeneca; Research Funding: Bristol Myers Squibb, FATE Therapeutics, Genentech/Roche, Incyte, MEI Pharma, Merck, Millenium, Seattle Genetics G. P. Gregory Consultant or advisory role: Roche/Genentech, Merck, Gilead Kite, Amgen, and Prelude Therapeutics Educational grants: Novartis Other remuneration: Research Funding: Merck, BeiGene, AbbVie; Speakers Bureau: Roche/Genentech, Gilead Kite T. Munir Consultant or advisory role: Abbvie, Lilly, AstraZeneca, Johnson and Johnson, and Novartis Honoraria: Johnson and Johnson, AstraZeneca, BeiGene, Lilly, and AbbVie Other remuneration: Research Funding: Johnson and Johsnon, AbbVie; Speakers Bureau: Johnson and Johnson, AstraZeneca, BeiGene, Lilliy, Sobi, and Novartis P. Langerbeins Consultant or advisory role: Janssen, AbbVie, AstraZeneca, and BeiGene Honoraria: Janssen, AbbVie, AstraZeneca, and BeiGene Educational grants: Janssen, AbbVie, AstraZeneca, and BeiGene Other remuneration: Research Funding: Janssen-Cilag C. S. Tam Honoraria: Janssen, AbbVie, BeiGene, and AstraZeneca Other remuneration: Research Funding: AbbVie, Janssen G. Musuraca Consultant or advisory role: Janssen, Roche, AbbVie, Genmab, Incyte, Takeda, BeiGene, AstraZeneca, SOBI, and Lilly Educational grants: Janssen, AbbVie, AstraZeneca Other remuneration: Speakers Bureau: Genmab, Incyte, Lilly, and AbbVie; Expert Testimony: Genmab, Incyte, Lilly, and AbbVie C. A. Portell Consultant or advisory role: AstraZeneca, BeiGene, Jansen, Merck, and Genentech Honoraria: Pfizer Other remuneration: Research Funding: AbbVie, Genentech, Prelude, Lilly, AstraZeneca, Pfizer, Acerta, and BeiGene A. Stathis Consultant or advisory role: Debiopharm, Janssen, AstraZeneca, Incyte, Eli Lilly, Novartis, Roche, and Loxo Oncology Educational grants: Incyte, AstraZeneca Other remuneration: Research Funding: Abbvie, ADC Therapeutics, Amgen, Astra Zeneca, Bayer, BMS, Cellestia, Debiopharm, Incyte, Loxo Oncology, Merck MSD, Novartis, Pfizer, Philogen, Prelude Therapeutics, and Roche J. Xavier Employment or leadership position: Prelude Therapeutics Consultant or advisory role: Sanofi, Pfizer, and Genentech Stock ownership: Prelude Therapeutics Other remuneration: Research Funding: Genentech, Sanofi; Patents, Royalities: Incanthera Ltd M. Osman Employment or leadership position: Prelude Therapeutics Stock ownership: Prelude Therapeutics, AstraZeneca S. K. Atwal Employment or leadership position: Prelude Therapeutics Stock ownership: Prelude Therapeutics, BeiGene J. Huang Employment or leadership position: Prelude Therapeutics, Protara Stock ownership: Prelude Therapeutics, BeiGene Other remuneration: Patents, Royalties: Prelude Therapeutics P. L. Zinzani Honoraria: Kyowa Kirin, Roche, AbbVie, BeiGene, Bristol Myers Squibb, Gilead, Novartis, Incyte, and Sobi Other remuneration: Speakers Bureau: Kyowa Kirin, Roche, AbbVie, BeiGene, Bristol Myers Squibb, Gilead, Novartis, Incyte, and Sobi

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,662
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,366
Écart entre enseignants0,346 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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